#!/usr/bin/env python
# coding: utf-8

# #GLACINDIA Workshop
# ##Part 4: ~~IPython~~ Jupyter notebook

# Nikolay Koldunov
# 
# 
# koldunovn@gmail.com

# In order to be productive you need comfortable environment, and this is what ~~IPython~~ Jupyter notebooks provide. This is your "lab book", where you can run the code, visualize data and write the text.

# ###Code execution

# In[1]:


print('I love Python!!!!')


# ### Text (Markdown)

# IPython [website](http://ipython.org/).
# 
# List:
# 
# * [Python on Codeacademy](http://www.codecademy.com/tracks/python)
# * [Google's Python Class](https://developers.google.com/edu/python/)
# 
# Code:
# 
#     print('hello world')
# 

# #### $\LaTeX$ equations

# $$\int_0^\infty e^{-x^2} dx=\frac{\sqrt{\pi}}{2}$$
# $$
# F(x,y)=0 ~~\mbox{and}~~
# \left| \begin{array}{ccc}
#   F''_{xx} & F''_{xy} &  F'_x \\
#   F''_{yx} & F''_{yy} &  F'_y \\
#   F'_x     & F'_y     & 0 
#   \end{array}\right| = 0
# $$

# #### Plots

# In[2]:


import matplotlib.pylab as plt
get_ipython().run_line_magic('matplotlib', 'inline')


# In[4]:


x = [1,2,3,4,5]
plt.plot(x);


# * [IPython website](http://ipython.org/)
# * [Notebook gallery](https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks) 

# ## Run notebook

# - Go to `start` menu
# - Find Anaconda 32 folder
# - run IPython notebook

# ## Main IPyhton features

# ### Getting help

# You can use question mark in order to get help. To execute cell you have to press *Shift+Enter*

# In[7]:


get_ipython().show_usage()


# Question mark after a function will open pager with documentation. Double question mark will show you source code of the function. 

# In[8]:


get_ipython().run_line_magic('pinfo', 'plt.plot')


# Press SHIFT+TAB after opening bracket in order to get help for the function (list of arguments, doc string).

# In[ ]:


range(


# ## Magic functions

# The magic function system provides a series of functions which allow you to
# control the behavior of IPython itself, plus a lot of system-type
# features.

# Let's create some set of numbers using [range](http://docs.python.org/2/library/functions.html#range) command:

# In[5]:


range(10)


# And find out how long does it take to run it with *%timeit* magic function:

# In[6]:


get_ipython().run_line_magic('timeit', 'range(10)')


# Print all interactive variables (similar to Matlab function):

# In[7]:


get_ipython().run_line_magic('whos', '')


# In[ ]: